Mapping of scientific knowledge: A method based on Academic Genealogy

Detalhes bibliográficos
Autor(a) principal: Rossi, Luciano
Data de Publicação: 2018
Outros Autores: Mena-Chalco, Jesús Pascual
Tipo de documento: Artigo
Idioma: por
Título da fonte: Em Questão (Online)
Texto Completo: https://seer.ufrgs.br/index.php/EmQuestao/article/view/86819
Resumo: The structuring of knowledge provides the means to organize formal knowledge into categories that facilitate its management and contribute to its dissemination. However, the formal models of knowledge classification do not allow the observation of the relationships between the different categories or the flow of this knowledge among members of the scientific community. In this work, we seek to structure scientific knowledge, represented by maps of science, considering the hierarchical structure provided by academic genealogy. We used, as a case study, all the academic descendants of Johann Bernoulli represented in the form of genealogy graph and the biographical information provided by Wikipedia following the standard developed by Mathematics Subject Classification as well as a glossary of areas of mathematics. To infer knowledge topics from mathematicians who did not have information, we used a topic propagation procedure that considers the topology of the genealogy graph. We believe that identifying and studying the flow of scientific knowledge among generations of researchers is an essential task in understanding how state-of-the-art knowledge has spread. However, in our understanding, this task was little explored by the scientific community due to the lack of data sets. We believe that this work will allow the definition of a new computational method for the study of knowledge flow. The relevance of the work lies in the possibility of discovering new information that helps to identify, analyze and structure the maps of science.
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spelling Mapping of scientific knowledge: A method based on Academic GenealogyMapeamento do conhecimento científico: uma proposta de método baseado em Genealogia AcadêmicaFluxo de conhecimentoMapas da ciênciaTópicos de conhecimentoGenealogia acadêmicaThe structuring of knowledge provides the means to organize formal knowledge into categories that facilitate its management and contribute to its dissemination. However, the formal models of knowledge classification do not allow the observation of the relationships between the different categories or the flow of this knowledge among members of the scientific community. In this work, we seek to structure scientific knowledge, represented by maps of science, considering the hierarchical structure provided by academic genealogy. We used, as a case study, all the academic descendants of Johann Bernoulli represented in the form of genealogy graph and the biographical information provided by Wikipedia following the standard developed by Mathematics Subject Classification as well as a glossary of areas of mathematics. To infer knowledge topics from mathematicians who did not have information, we used a topic propagation procedure that considers the topology of the genealogy graph. We believe that identifying and studying the flow of scientific knowledge among generations of researchers is an essential task in understanding how state-of-the-art knowledge has spread. However, in our understanding, this task was little explored by the scientific community due to the lack of data sets. We believe that this work will allow the definition of a new computational method for the study of knowledge flow. The relevance of the work lies in the possibility of discovering new information that helps to identify, analyze and structure the maps of science.A estruturação do conhecimento fornece os meios para organizar o saber formal em categorias que facilitem sua gestão e contribuam para sua disseminação. Entretanto os modelos formais de classificação do conhecimento não permitem a observação das relações existentes entre as diferentes categorias ou do fluxo desse conhecimento entre membros da comunidade científica. Neste trabalho, buscamos estruturar o saber científico, representado por mapas da ciência, considerando a estrutura hierárquica fornecida pela Genealogia Acadêmica. Utilizamos, como estudo de caso, a descendência acadêmica de Johann Bernoulli representada em forma de grafo de genealogia e as informações biográficas disponibilizadas pelo Wikipedia em concordância com o padrão desenvolvido pelo Mathematics Subject Classification, além de um glossário de áreas da matemática. Para inferir os tópicos do conhecimento aos matemáticos que não possuíam informações, utilizamos um procedimento de propagação de tópicos que considera a topologia do grafo de genealogia. Consideramos que identificar e estudar o fluxo do conhecimento científico entre gerações de pesquisadores é uma tarefa importante para entender como o conhecimento do estado da arte foi difundido. Contudo, no nosso entendimento, essa tarefa foi pouco explorada pela comunidade científica devido à inexistência de conjuntos de dados. Acreditamos que este trabalho permitirá a definição de um novo método computacional para o estudo de fluxo de conhecimento. A relevância do trabalho recai na possibilidade de descoberta de novas informações que auxiliem a identificar, analisar e estruturar os mapas da ciência.Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS)2018-12-31info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/EmQuestao/article/view/8681910.19132/1808-5245240.172-192Em Questão; v. 24, Edição Especial 6 EBBC, 2018; 172-192Em Questão; v. 24, Edição Especial 6 EBBC, 2018; 172-192Em Questão; v. 24, Edição Especial 6 EBBC, 2018; 172-1921808-52451807-8893reponame:Em Questão (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/EmQuestao/article/view/86819/52332Copyright (c) 2019 Luciano Rossi, Jesús Pascual Mena-Chalcohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessRossi, LucianoMena-Chalco, Jesús Pascual2023-12-04T17:53:59Zoai:seer.ufrgs.br:article/86819Revistahttps://seer.ufrgs.br/emquestao/PUBhttps://seer.ufrgs.br/EmQuestao/oaiemquestao@ufrgs.br||emquestao@ufrgs.br1808-52451807-8893opendoar:2023-12-04T17:53:59Em Questão (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.none.fl_str_mv Mapping of scientific knowledge: A method based on Academic Genealogy
Mapeamento do conhecimento científico: uma proposta de método baseado em Genealogia Acadêmica
title Mapping of scientific knowledge: A method based on Academic Genealogy
spellingShingle Mapping of scientific knowledge: A method based on Academic Genealogy
Rossi, Luciano
Fluxo de conhecimento
Mapas da ciência
Tópicos de conhecimento
Genealogia acadêmica
title_short Mapping of scientific knowledge: A method based on Academic Genealogy
title_full Mapping of scientific knowledge: A method based on Academic Genealogy
title_fullStr Mapping of scientific knowledge: A method based on Academic Genealogy
title_full_unstemmed Mapping of scientific knowledge: A method based on Academic Genealogy
title_sort Mapping of scientific knowledge: A method based on Academic Genealogy
author Rossi, Luciano
author_facet Rossi, Luciano
Mena-Chalco, Jesús Pascual
author_role author
author2 Mena-Chalco, Jesús Pascual
author2_role author
dc.contributor.author.fl_str_mv Rossi, Luciano
Mena-Chalco, Jesús Pascual
dc.subject.por.fl_str_mv Fluxo de conhecimento
Mapas da ciência
Tópicos de conhecimento
Genealogia acadêmica
topic Fluxo de conhecimento
Mapas da ciência
Tópicos de conhecimento
Genealogia acadêmica
description The structuring of knowledge provides the means to organize formal knowledge into categories that facilitate its management and contribute to its dissemination. However, the formal models of knowledge classification do not allow the observation of the relationships between the different categories or the flow of this knowledge among members of the scientific community. In this work, we seek to structure scientific knowledge, represented by maps of science, considering the hierarchical structure provided by academic genealogy. We used, as a case study, all the academic descendants of Johann Bernoulli represented in the form of genealogy graph and the biographical information provided by Wikipedia following the standard developed by Mathematics Subject Classification as well as a glossary of areas of mathematics. To infer knowledge topics from mathematicians who did not have information, we used a topic propagation procedure that considers the topology of the genealogy graph. We believe that identifying and studying the flow of scientific knowledge among generations of researchers is an essential task in understanding how state-of-the-art knowledge has spread. However, in our understanding, this task was little explored by the scientific community due to the lack of data sets. We believe that this work will allow the definition of a new computational method for the study of knowledge flow. The relevance of the work lies in the possibility of discovering new information that helps to identify, analyze and structure the maps of science.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-31
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dc.identifier.uri.fl_str_mv https://seer.ufrgs.br/index.php/EmQuestao/article/view/86819
10.19132/1808-5245240.172-192
url https://seer.ufrgs.br/index.php/EmQuestao/article/view/86819
identifier_str_mv 10.19132/1808-5245240.172-192
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufrgs.br/index.php/EmQuestao/article/view/86819/52332
dc.rights.driver.fl_str_mv Copyright (c) 2019 Luciano Rossi, Jesús Pascual Mena-Chalco
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Luciano Rossi, Jesús Pascual Mena-Chalco
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS)
publisher.none.fl_str_mv Universidade Federal do Rio Grande do Sul, Faculdade de Biblioteconomia e Comunicação, Programa de Pós-Graduação em Ciência da Informação (Porto Alegre/RS)
dc.source.none.fl_str_mv Em Questão; v. 24, Edição Especial 6 EBBC, 2018; 172-192
Em Questão; v. 24, Edição Especial 6 EBBC, 2018; 172-192
Em Questão; v. 24, Edição Especial 6 EBBC, 2018; 172-192
1808-5245
1807-8893
reponame:Em Questão (Online)
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
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instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
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reponame_str Em Questão (Online)
collection Em Questão (Online)
repository.name.fl_str_mv Em Questão (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv emquestao@ufrgs.br||emquestao@ufrgs.br
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